Tri-Training and Data Editing Based Semi-Supervised Clustering Algorithm
نویسندگان
چکیده
منابع مشابه
Tri-training and Data Editing Based Semi-supervised Clustering Algorithm
Semi-Supervised clustering algorithms often utilize a seeds set consisting of a small amount of labeled data to initialize cluster centroids, hence improve the clustering performance over whole data set. Both the scale and quality of seeds set directly restrict the performance of semi-supervised clustering algorithm. In this paper, a new algorithm named DE-Tri-training semi-supervised K-means i...
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ژورنال
عنوان ژورنال: Journal of Software
سال: 2008
ISSN: 1000-9825
DOI: 10.3724/sp.j.1001.2008.00663